Applied Mathematics-A Journal of Chinese Universities Series B

Scope & Guideline

Empowering Researchers to Transform Mathematical Applications

Introduction

Welcome to your portal for understanding Applied Mathematics-A Journal of Chinese Universities Series B, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN1005-1031
PublisherZHEJIANG UNIV PRESS
Support Open AccessNo
CountryGermany
TypeJournal
Convergefrom 1993 to 2024
AbbreviationAPPL MATH SER B / Appl. Math.-J. Chin. Univ. Ser. B
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressXixi Campus, Zhejiang University, No. 148 Tianmushan Road, Hangzhou, Zhejiang 310028, PEOPLES R CHINA

Aims and Scopes

The journal 'Applied Mathematics-A Journal of Chinese Universities Series B' focuses on advancing the field of applied mathematics through diverse methodologies and interdisciplinary applications. It aims to publish original research that contributes to both the theoretical and practical aspects of mathematics in various domains.
  1. Applied Mathematical Techniques:
    The journal emphasizes the application of mathematical techniques across various fields, including engineering, physics, and economics, showcasing methodologies such as numerical analysis, optimization, and statistical modeling.
  2. Interdisciplinary Research:
    It promotes interdisciplinary research that integrates mathematical theory with practical problems, highlighting collaborations between mathematics and other scientific disciplines.
  3. Theoretical Developments:
    The journal also focuses on theoretical advancements in applied mathematics, exploring new mathematical frameworks and theories that can be utilized in practical applications.
  4. Emerging Mathematical Models:
    There is a consistent emphasis on developing and analyzing mathematical models for real-world phenomena, particularly in areas such as population dynamics, fluid mechanics, and financial mathematics.
  5. Advanced Computational Methods:
    The journal publishes studies on advanced computational methods, including algorithms and numerical simulations that solve complex mathematical problems.
The journal has demonstrated a clear trend towards specific themes that reflect the evolving landscape of applied mathematics and its applications. Recent publications indicate a growing interest in innovative methodologies and interdisciplinary approaches.
  1. Fractional Calculus and Differential Equations:
    Recent papers highlight an increasing focus on fractional calculus and its applications in modeling complex systems, reflecting a trend towards more sophisticated mathematical tools.
  2. Machine Learning and Data Analysis:
    There is a significant rise in research integrating machine learning techniques with mathematical modeling, indicating a trend towards data-driven approaches in applied mathematics.
  3. Stochastic Modeling:
    Stochastic processes and their applications are gaining prominence, particularly in fields such as finance, biology, and environmental science, showcasing a growing interest in uncertainty and variability.
  4. Complex Systems and Nonlinear Dynamics:
    The exploration of complex systems and nonlinear dynamics is emerging as a key focus, with researchers increasingly applying mathematical models to understand intricate behaviors in various systems.
  5. Numerical Methods for PDEs:
    There is a notable trend towards the development of advanced numerical methods for solving partial differential equations (PDEs), emphasizing the importance of computational approaches in applied mathematics.

Declining or Waning

While the journal maintains a broad scope in applied mathematics, certain themes have shown a decline in prevalence in recent years. This may reflect shifts in research interests or the maturation of specific areas.
  1. Classical Analysis Techniques:
    There appears to be a waning interest in classical analysis techniques, such as traditional calculus and elementary differential equations, as more researchers focus on complex and modern mathematical frameworks.
  2. Pure Theoretical Mathematics:
    The journal has seen a decrease in submissions focused solely on pure theoretical mathematics without practical application, as the trend shifts towards more applied and computationally relevant studies.
  3. Basic Statistical Methods:
    Basic statistical methods and techniques are becoming less prominent, with more complex and innovative statistical models taking precedence in recent research.
  4. Static Mathematical Models:
    There is a noticeable decline in research dedicated to static models, as dynamic and time-dependent models are increasingly favored for their relevance to real-time applications.
  5. Traditional Optimization Techniques:
    Research focusing on traditional optimization methods is less frequent, as newer, more sophisticated algorithms and approaches gain traction in the field.

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